Since the past decades, more lung cancer patients have been experiencing lasting benefits
from immunotherapy. It is imperative to accurately and intelligently select appropriate …

Immunotherapy including immune checkpoint inhibitors (ICIs) has become the backbone of
treatment for most lung cancers with advanced or metastatic disease. In addition, they have …

B cells are frequently found in the margins of solid tumours as organized follicles in ectopic
lymphoid organs called tertiary lymphoid structures (TLS),. Although TLS have been found to …

Non-small cell lung cancer (NSCLC) is characterized by molecular heterogeneity with
diverse immune cell infiltration patterns, which has been linked to therapy sensitivity and …

Computational pathology can lead to saving human lives, but models are annotation hungry
and pathology images are notoriously expensive to annotate. Self-supervised learning has …

PURPOSE In the treatment of non–small-cell lung cancer (NSCLC) with a driver mutation,
the role of anti–PD-(L) 1 antibody after tyrosine kinase inhibitor (TKI) remains unclear. This …

Importance Currently, predictive biomarkers for response to immune checkpoint inhibitor
(ICI) therapy in lung cancer are limited. Identifying such biomarkers would be useful to refine …

Lung cancer accounts for the main proportion of malignancy-related deaths and most
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …

Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …

Cell detection is a fundamental task in computational pathology that can be used for
extracting high-level medical information from whole-slide images. For accurate cell …